Silent Data Corruptions at Scale. - Harish Dattatraya Dixit; Sneha Pendharkar; Matt Beadon; Chris Mason; Tejasvi Chakravarthy; Bharath Muthiah; Sriram Sankar (CoRR, 2021)

High-performance, Distributed Training of Large-scale Deep Learning Recommendation Models. - Dheevatsa Mudigere; Yuchen Hao; Jianyu Huang; Andrew Tulloch; Srinivas Sridharan 002; Xing Liu; Mustafa Ozdal; Jade Nie; Jongsoo Park; Liang Luo; Jie Amy Yang; Leon Gao; et al. (CoRR, 2021)

Software-hardware co-design for fast and scalable training of deep learning recommendation models. - Dheevatsa Mudigere; Yuchen Hao; Jianyu Huang; Zhihao Jia; Andrew Tulloch; Srinivas Sridharan 002; Xing Liu; Mustafa Ozdal; Jade Nie; Jongsoo Park; Liang Luo; Jie Amy Yang; et al. (ISCA, 2022)

EL-Rec: Efficient Large-Scale Recommendation Model Training via Tensor-Train Embedding Table. - Zheng Wang 075; Yuke Wang; Boyuan Feng; Dheevatsa Mudigere; Bharath Muthiah; Yufei Ding 001 (SC, 2022)

OPER: Optimality-Guided Embedding Table Parallelization for Large-scale Recommendation Model. - Zheng Wang 075; Yuke Wang; Boyuan Feng; Guyue Huang; Dheevatsa Mudigere; Bharath Muthiah; Ang Li 006; Yufei Ding 001 (USENIX ATC, 2024)